Triple

T19797993
Position Surface form Disambiguated ID Type / Status
Subject Leo Bloom E475593 entity
Predicate portrayedBy P1507 FINISHED
Object John Gordon Sinclair NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: John Gordon Sinclair | Statement: [Leo Bloom, portrayedBy, John Gordon Sinclair]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Gordon Sinclair
Context triple: [Leo Bloom, portrayedBy, John Gordon Sinclair]
  • A. John Gordon Sinclair chosen
    John Gordon Sinclair is a Scottish actor best known for his roles in films such as "Gregory's Girl" and various British television and stage productions.
  • B. Gordon Sinclair
    Gordon Sinclair was a Canadian journalist, radio and television commentator, and author best known for his long career with the CBC and his patriotic broadcast "The Americans."
  • C. Gordon Alexander
    Gordon Alexander is an actor known for his role in the film "The Purifiers."
  • D. Gordon MacDonald
    Gordon MacDonald is an American actor known for his work in film, television, and theater, as well as his long-term relationship with actress Holly Hunter.
  • E. Gordon Gunter
    Gordon Gunter was a prominent American marine biologist and fisheries scientist known for his influential research on the ecology of the Gulf of Mexico.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d8e51b014081908b263e167370529a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e653c877288190b56ee7eedea710a3 completed April 20, 2026, 4:26 p.m.
Created at: April 10, 2026, 1:49 p.m.